Files
Upsilon/apps/regression/model/logarithmic_model.cpp
2019-02-21 11:29:35 +01:00

73 lines
2.0 KiB
C++

#include "logarithmic_model.h"
#include "../store.h"
#include <math.h>
#include <assert.h>
#include <poincare/char_layout.h>
#include <poincare/horizontal_layout.h>
using namespace Poincare;
namespace Regression {
Layout LogarithmicModel::layout() {
if (m_layout.isUninitialized()) {
Layout layoutChildren[] = {
CharLayout::Builder('a', KDFont::SmallFont),
CharLayout::Builder(Ion::Charset::MiddleDot, KDFont::SmallFont),
CharLayout::Builder('l', KDFont::SmallFont),
CharLayout::Builder('n', KDFont::SmallFont),
CharLayout::Builder('(', KDFont::SmallFont),
CharLayout::Builder('X', KDFont::SmallFont),
CharLayout::Builder(')', KDFont::SmallFont),
CharLayout::Builder('+', KDFont::SmallFont),
CharLayout::Builder('b', KDFont::SmallFont)
};
m_layout = HorizontalLayout::Builder(layoutChildren, 9);
}
return m_layout;
}
double LogarithmicModel::evaluate(double * modelCoefficients, double x) const {
double a = modelCoefficients[0];
double b = modelCoefficients[1];
return a*log(x)+b;
}
double LogarithmicModel::levelSet(double * modelCoefficients, double xMin, double step, double xMax, double y, Poincare::Context * context) {
double a = modelCoefficients[0];
double b = modelCoefficients[1];
if (a == 0) {
return NAN;
}
return exp((y-b)/a);
}
double LogarithmicModel::partialDerivate(double * modelCoefficients, int derivateCoefficientIndex, double x) const {
if (derivateCoefficientIndex == 0) {
// Derivate: ln(x)
assert(x >0);
return log(x);
}
if (derivateCoefficientIndex == 1) {
// Derivate: 1
return 1;
}
assert(false);
return 0.0;
}
bool LogarithmicModel::dataSuitableForFit(Store * store, int series) const {
if (!Model::dataSuitableForFit(store, series)) {
return false;
}
int numberOfPairs = store->numberOfPairsOfSeries(series);
for (int j = 0; j < numberOfPairs; j++) {
if (store->get(series, 0, j) <= 0) {
return false;
}
}
return true;
}
}